Design Statistics in Pharmacochemistry PDF Download

Author: Peter P. Mager
Publisher:
ISBN: 9780863801129
Category : Drugs
Languages : en
Pages : 661

View

Book Description

Author: N. Anthony Armstrong
Publisher: CRC Press
ISBN: 9780203483091
Category : Medical
Languages : en
Pages : 294

View

Book Description
This work provides a description of the principles of experimental design and their application to pharmaceutical research. It includes worked examples taken from a wide variety of pharmaceutical techniques and processes.

Author: Gareth A. Lewis
Publisher: CRC Press
ISBN: 0824746880
Category : Mathematics
Languages : en
Pages : 512

View

Book Description
This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development.Shows how to overcome pharmaceutical, technological, and economic constraint

Author: Shein-Chung Chow
Publisher: CRC Press
ISBN: 1482273136
Category : Mathematics
Languages : en
Pages : 581

View

Book Description
"Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development--emphasizing biopharmaceutical applications and demonstrating statistical techniques with real-world examples."

Author: Paul J. Mitchell
Publisher: John Wiley & Sons
ISBN: 1119437660
Category : Medical
Languages : en
Pages : 260

View

Book Description
Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles of experimental design and statistical analysis in pharmacology Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences provides clear instructions on applying statistical analysis techniques to pharmacological data. Written by an experimental pharmacologist with decades of experience teaching statistics and designing preclinical experiments, this reader-friendly volume explains the variety of statistical tests that researchers require to analyze data and draw correct conclusions. Detailed, yet accessible, chapters explain how to determine the appropriate statistical tool for a particular type of data, run the statistical test, and analyze and interpret the results. By first introducing basic principles of experimental design and statistical analysis, the author then guides readers through descriptive and inferential statistics, analysis of variance, correlation and regression analysis, general linear modelling, and more. Lastly, throughout the textbook are numerous examples from molecular, cellular, in vitro, and in vivo pharmacology which highlight the importance of rigorous statistical analysis in real-world pharmacological and biomedical research. This textbook also: Describes the rigorous statistical approach needed for publication in scientific journals Covers a wide range of statistical concepts and methods, such as standard normal distribution, data confidence intervals, and post hoc and a priori analysis Discusses practical aspects of data collection, identification, and presentation Features images of the output from common statistical packages, including GraphPad Prism, Invivo Stat, MiniTab and SPSS Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences is an invaluable reference and guide for undergraduate and graduate students, post-doctoral researchers, and lecturers in pharmacology and allied subjects in the life sciences.

Author: Peter P. Mager
Publisher: John Wiley & Sons
ISBN:
Category : Medical
Languages : en
Pages : 684

View

Book Description
This volume is intended to be a guide to advanced students and researchers regarding the various computer-aided statistical techniques that may be used to plan, design and correct experiments in current medicinal and agricultural chemistry research. These techniques are described first in theory and then in practical application with the use of actual data taken from real experiments. The book presupposes some knowledge of statistics and elementary matrix algebra.

Author: J. Rick Turner
Publisher: John Wiley & Sons
ISBN: 047007373X
Category : Mathematics
Languages : en
Pages : 298

View

Book Description
This book acquaints students and practitioners in the related fields of pharmaceutical sciences, clinical trials, and evidence-based medicine with the necessary study design concepts and statistical practices to allow them to understand how drug developers plan and evaluate their drug development. Two goals of the book are to make the material accessible to readers with minimal background in research and to be straightforward enough for self-taught purposes. By bringing the topic from the early discovery phase to clinical trials and medical practice, the book provides an indispensable overview of an otherwise confusing and fragmented set of topics. The author’s experience as a respected scientist, teacher of statistics, and one who has worked in the clinical trials arena makes him well suited to write such a treatise.

Author: Sarwar Beg
Publisher: Springer Nature
ISBN: 9813347171
Category : Medical
Languages : en
Pages : 99

View

Book Description
This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product development. It discusses the applications of experimental designs that shall include oral, topical, transdermal, injectables preparations, and beyond for nanopharmaceutical product development, leading to dedicated case studies on various pharmaceutical experiments through illustrations, art-works, tables and figures. This book is a valuable guide for all academic and industrial researchers, pharmaceutical and biomedical scientists, undergraduate and postgraduate research scholars, pharmacists, biostatisticians, biotechnologists, formulations and process engineers, regulatory affairs and quality assurance personnel.

Author: Peter Mager
Publisher: Elsevier
ISBN: 0323150470
Category : Medical
Languages : en
Pages : 435

View

Book Description
Multidimensional Pharmacochemistry: Design of Safer Drugs deals with techniques based on the theory of simultaneous statistical inference and the qualitative rules that can be applied in solving problems of high toxicity. This book points out that the multidimensional view of data analysis can be applied to solve problems in medicinal chemistry. Investigators use different approaches; a certain procedure can prove to be the most beneficial for a specific drug design. This text presents the theoretical assumptions that mathematicians make to derive the basis for their multivariate techniques. This book also describes, in nonmathematical terms, a set of methods that are valuable, as well as explain the different designs by using numerical examples. According to E.J. Ariens, drug action involves the pharmaceutical, pharmacokinetic-toxokinetic, and pharmacodynamics-toxodynamic phases. The multivariate structure-activity analysis (MASCA) Model of Pharmacochemistry is a highly unified multivariate approach to drug design. To develop a multidimensionally oriented pharmacology, the book notes that the investigator can use the "dynamic structure-activity analysis." This entails the experimentalist and chemist using quantitative approaches and intuitive elements from a small number of compounds toward larger groups, with successive changes being inputted in the desired biological activity. This book is strongly recommended for toxicologists, pharmacologists, applied mathematicians, medicinal and agricultural chemists.

Author: Shein-Chung Chow
Publisher: CRC Press
ISBN: 9780824793364
Category : Mathematics
Languages : en
Pages : 580

View

Book Description
"Offers a comprehensive, unified presentation of statistical designs and methods of analysis for all stages of pharmaceutical development--emphasizing biopharmaceutical applications and demonstrating statistical techniques with real-world examples."